ArticleSpatial and spatio-temporal epidemiology2011
Adjusted significance cutoffs for hypothesis tests applied with generalized additive models with bivariate smoothers.
Article in Spatial and spatio-temporal epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Spatial disparities of HIV prevalence in South Africa. Do sociodemographic, behavioral, and biological factors explain this spatial variability?Frontiers in public health · 2022Article
- Spatial analyses of ALS incidence in Denmark over three decades.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2018Article
- Associations between residence at birth and mental health disorders: a spatial analysis of retrospective cohort data.BMC public health · 2015Article
- Spatial analysis of advanced-stage ovarian cancer mortality in California.American journal of obstetrics and gynecology · 2015Observational
- Evaluation of the performance of smoothing functions in generalized additive models for spatial variation in disease.Cancer informatics · 2015Article
- Spatial analysis of adherence to treatment guidelines for advanced-stage ovarian cancer and the impact of race and socioeconomic status.Gynecologic oncology · 2014Article
- Brief report: diminishing geographic variability in autism spectrum disorders over time?Journal of autism and developmental disorders · 2014Article
- The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina.Environmental health : a global access science source · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
In spatial epidemiology, generalized additive models (GAMs) can be applied with bivariate locally weighted regression smoothing terms (LOESS), smoothing over longitude and latitude, to evaluate whether there is spatial variation in disease risk across a study region. Two hypothesis testing methods applicable with GAMs with bivariate LOESS smoothes, an approximate chi-square test (ACST) and the conditional permutation test (CPT), have inflated type I error rates. Using simulated data we determined empirical adjustments to significance cutoffs for nominal type I error rates of 0.01, 0.05, and 0.10. When applied with adjusted significance cutoffs, both ACST and CPT were appropriately sized across region shapes, population densities, sample sizes, and probabilities of disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.